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Dyspnea Severity Assessment Based on Vocalization Behavior with Deep Learning on the Telephone
In this paper, a system to assess dyspnea with the mMRC scale, on the phone, via deep learning, is proposed. The method is based on modeling the spontaneous behavior of subjects while pronouncing controlled phonetization. These vocalizations were designed, or chosen, to deal with the stationary nois...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007248/ https://www.ncbi.nlm.nih.gov/pubmed/36904646 http://dx.doi.org/10.3390/s23052441 |